In the world of Deep Learning, there is a fundamental tension that keeps researchers and mobile developers awake at night. On one side, you have the mathematical idealism of high-precision deep learning models, born in the realm of float32 (32-bit floating point). On the other, you have the brutal physical reality of mobile hardware: limited RAM,...